添加了THEANO 中新的部分：条件语句（已完成），循环（未完成）

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Author: lijin-THU

09. theano/09.03 gpu on windows.ipynb.REMOVED.git-id

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-c5f58238f46e59e2c4256b9b0ad3c55eb3509cba
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09. theano/09.04 graph structures.ipynb.REMOVED.git-id

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09. theano/09.04 linear regression.ipynb.REMOVED.git-id

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09. theano/09.05 configuration settings and compiling modes.ipynb.REMOVED.git-id

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Theano 条件语句"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "`theano` 中提供了两种条件语句，`ifelse` 和 `switch`，两者都是用于在符号变量上使用条件语句：\n",
+    "\n",
+    "- `ifelse(condition, var1, var2)`\n",
+    "    - 如果 `condition` 为 `true`，返回 `var1`，否则返回 `var2`\n",
+    "- `switch(tensor, var1, var2)`\n",
+    "    - Elementwise `ifelse` 操作，更一般化\n",
+    "- `switch` 会计算两个输出，而 `ifelse` 只会根据给定的条件，计算相应的输出。\n",
+    "\n",
+    "`ifelse` 需要从 `theano.ifelse` 中导入，而 `switch` 在 `theano.tensor` 模块中。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Using gpu device 1: Tesla K10.G2.8GB (CNMeM is disabled)\n"
+     ]
+    }
+   ],
+   "source": [
+    "import theano, time\n",
+    "import theano.tensor as T\n",
+    "import numpy as np\n",
+    "from theano.ifelse import ifelse"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "假设我们有两个标量参数：$a, b$，和两个矩阵 $\\mathbf{x, y}$，定义函数为：\n",
+    "\n",
+    "$$ \n",
+    "\\mathbf z = f(a, b,\\mathbf{x, y}) = \\left\\{ \n",
+    "\\begin{aligned}\n",
+    "    \\mathbf x & ,\\ a <= b\\\\\n",
+    "    \\mathbf y & ,\\ a > b\n",
+    "\\end{aligned}\n",
+    "\\right.\n",
+    "$$\n",
+    "\n",
+    "定义变量："
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "a, b = T.scalars('a', 'b')\n",
+    "x, y = T.matrices('x', 'y')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "用 `ifelse` 构造，小于等于用 `T.lt()`，大于等于用 `T.gt()`："
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "z_ifelse = ifelse(T.lt(a, b), x, y)\n",
+    "\n",
+    "f_ifelse = theano.function([a, b, x, y], z_ifelse)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "用 `switch` 构造："
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "z_switch = T.switch(T.lt(a, b), x, y)\n",
+    "\n",
+    "f_switch = theano.function([a, b, x, y], z_switch)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "测试数据："
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "val1 = 0.\n",
+    "val2 = 1.\n",
+    "big_mat1 = np.ones((10000, 1000), dtype=theano.config.floatX)\n",
+    "big_mat2 = np.ones((10000, 1000), dtype=theano.config.floatX)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "比较两者的运行速度："
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "time spent evaluating both values 0.638598 sec\n",
+      "time spent evaluating one value 0.461249 sec\n"
+     ]
+    }
+   ],
+   "source": [
+    "n_times = 10\n",
+    "\n",
+    "tic = time.clock()\n",
+    "for i in xrange(n_times):\n",
+    "    f_switch(val1, val2, big_mat1, big_mat2)\n",
+    "print 'time spent evaluating both values %f sec' % (time.clock() - tic)\n",
+    "\n",
+    "tic = time.clock()\n",
+    "for i in xrange(n_times):\n",
+    "    f_ifelse(val1, val2, big_mat1, big_mat2)\n",
+    "print 'time spent evaluating one value %f sec' % (time.clock() - tic)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}

09. theano/09.05 logistic regression .ipynb.REMOVED.git-id

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09. theano/09.06 conditions in theano.ipynb

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